Peter J. Palmadesso - Manassas VA, US Jeffrey H. Bowles - Alexandria VA, US David B. Gillis - Washington DC, US
Assignee:
The United States of America as represented by the Secretary of the Navy - Washington DC
International Classification:
G06F007/02
US Classification:
702181, 702182, 702183, 702189
Abstract:
A nearer neighbor matching and compression method and apparatus provide matching of data vectors to exemplar vectors. A data vector is compared to exemplar vectors contained within a subset of exemplar vectors, i. e. , a set of possible exemplar vectors, to find a match. After a match is found, a probability function assigns a probability value based on the probability that a better matching exemplar vector exists. If the probability that a better match exists is greater than a predetermined probability value, the data vector is compared to an additional exemplar vector. If a match is not found, the data vector is added to the set of exemplar vectors. Data compression may be achieved in a hyperspectral image data vector set by replacing each observed data vector representing a respective spatial pixel by reference to a member of the exemplar set that “matches' the data vector. As such, each spatial pixel will be assigned to one of the exemplar vectors.
Method And Apparatus For Identifying A Substance Using A Spectral Library Database
Jacob Grun - Silver Spring MD, US Charles K Manka - Alexandria VA, US Jeffrey H Bowles - Burke VA, US Michael R Corson - Frederick MD, US Jay F Sperry - North Kingston RI, US
Assignee:
The United States of America as represented by the Secretary of the Navy - Washington DC
International Classification:
G01N 21/63 G01N 21/64 G01N 21/65
US Classification:
356318, 356301, 356307, 2504581
Abstract:
A spectroscopic detector for identifying the presence of a first substance in the presence of another substance includes a laser for illuminating the substances at a plurality of wavelengths to induce the emission of radiation characteristic of the substance; a spectrometer for measuring the emitted radiation to obtain a plurality of spectral measurement data; and a processor for processing the data. An algorithm combines the data into a composite spectrum and a parameter characteristic of the first substance is identified while information in the composite spectrum contributed by emission of radiation from the other substance is removed to identify the presence of the first substance and obtain a characteristic spectral signature of the first substance. The signature is compared to signatures in a spectral library database, wherein at least some of the library signatures have spectral characteristics differentiated from each other by identifiable spectral characteristics caused by environmental factors.
Long Range Active Thermal Imaging System And Method
Richard F Hubbard - Burke VA, US Arne W Fliflet - Alexandria VA, US Jeffrey H Bowles - Burke VA, US David A Kidwell - Alexandria VA, US Melissa K. Hornstein - Washington DC, US Geoffrey B. Smith - Manassas VA, US David Lewis, III - Mountain View CA, US
Assignee:
The United States of America as represented by the Secretary of the Navy - Washington DC
International Classification:
G01J 5/00
US Classification:
2503381
Abstract:
A long-range active thermal imaging system includes an electromagnetic radiation source in the range of from about 10 GHz to about 500 GHz; a beam controller for receiving and retransmitting the electromagnetic radiation in a desired direction toward and onto a surface of a target, thereby heating the target and producing an infrared radiation emission from the target surface; and an infrared imager, e. g. an infrared camera coupled to a processor and display, for receiving the target's infrared radiation emission and generating a thermal image of the target. The radiation source may be selected such that the radiation penetrates into the target to provide a thermal signature, e. g. from subsurface features or objects. The thermal signature exhibits rapid changes that can be monitored in real time. This may allow surface or subsurface details or objects to be detected that would not otherwise be apparent.
Method And Apparatus For Identifying A Substance Using A Spectral Library Database
Jacob Grun - Silver Spring MD, US Charles Manka - Alexandria VA, US Jeffrey Bowles - Alexandria VA, US Michael Corson - Frederick MD, US
International Classification:
G01J 3/30 G01N 21/63 G01N 21/64 G01N 21/65
US Classification:
356318000
Abstract:
A spectroscopic detector for identifying the presence of a first substance in the presence of another substance includes a laser for illuminating the substances at a plurality of wavelengths to induce the emission of radiation characteristic of the substance; a spectrometer for measuring the emitted radiation to obtain a plurality of spectral measurement data; and a processor for processing the data. An algorithm combines the data into a composite spectrum and a parameter characteristic of the first substance is identified while information in the composite spectrum contributed by emission of radiation from the other substance is removed to identify the presence of the first substance and obtain a characteristic spectral signature of the first substance. The signature is compared to signatures in a spectral library database, wherein at least some of the library signatures have spectral characteristics differentiated from each other by identifiable spectral characteristics caused by environmental factors.
System For Eliminating Or Reducing Exemplar Effects In Multispectral Or Hyperspectral Sensors
Peter J. Palmadesso - Manassas VA John A. Antoniades - Fulton MD Mark M. Baumback - University Park MD Jeffrey H. Bowles - Alexandria VA John M. Grossmann - Falls Church VA Daniel G. Haas - Lothian MD
Assignee:
The United States of America as represented by the Secretary of the Navy - Washington DC
International Classification:
G06K9/36
US Classification:
382155
Abstract:
The Intelligent Hypersensor Processing System (IHPS) is a system for the rapid detection of small, weak, or hidden objects, substances, or patterns embedded in complex backgrounds, providing fast adaptive processing for demixing and recognizing patterns or signatures in data provided by certain types of "hypersensors". SERENE introduces an improved noise reduction algorithm useful on systems which use hypersensors such as IHPS, or other systems which use sensors which are hyper or multi spectral. The SERENE technique may be employed through out the Learning Module Processor pipelining and further processes the data stream to filter intrinsic and extrinsic noise, and minimize exemplar noise effects in the exemplar set. This system represents an alternative to prior systems for hidden object detection by solving the problems encountered when attempting to detect hidden objects/targets in dynamic scenarios at real-time.
President, Founder & CEO at ABC Worldwide Chauffeured Transportation, LLC, Sr. Managing Partner at Phoenix Investment Property Solutions, LLC
Location:
Raleigh-Durham, North Carolina Area
Industry:
Transportation/Trucking/Railroad
Work:
ABC Worldwide Chauffeured Transportation, LLC since Jan 2009
President, Founder & CEO
Phoenix Investment Property Solutions, LLC since Mar 2007
Sr. Managing Partner
Capital Luxury Transportation, LLC Aug 2006 - May 2008
Sr. Corporate Account Executive
Destiny Transportation Group, LLC Oct 1994 - Aug 2006
President/CEO
Port-O-San Corporation Mar 1981 - Jan 1991
Outside Supervisor
Education:
Union County College 1980 - 1982
Interests:
My interest include traveling, horseback riding, growing my knowledge base, real estate investing, and hanging out at the beach with great friends.
Cedarvale Public School Toronto Morocco 1968-1972, Valley Park Junior High School Toronto Morocco 1973-1975, Overlea Secondary High School Don Mills Morocco 1976-1978, Culver City High School Culver City CA 1978-1979